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Model of river environmental management based on sustainable community social capital

AIP Conference Proceedings 2024年第1期2982卷

作者： Dwi Atmanto Cosmetology Education Study Program Faculty of Engineering State University of Jakarta Jakarta Indonesia

Along the river, many people live. As a result, many people dispose of their household or industrial waste in bodies of water. On the other hand, community groups are concerned about the river's environment. The study will take place along the Ciliwung River. Social capital data includes togetherness, mutual trust, sharing, cooperation, resource mobilization, and the principle of reciprocity. A survey of 30 people who live along the Ciliwung River. The collected data were processed descriptively, and a dynamic system created a model. According to the findings, the community's social capital of the participatory response is high, at 64.17%. 36% is the average level of reciprocity. The percentage of trust is 37%. Aspects of norms (a set of customary or local rules that apply): 58.5% is a high percentage. Aspects of values are 64% high. The statistical testing results in Fcount > Ftable (39.983 > 3,372) show that the percentage composition in each aspect of social capital differs significantly. When the system dynamics model is built with community social capital (citizens, NGOs, and entrepreneurs) and the role of the government, the quality of the river environment can be achieved in 18 years.

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Integration of Artificial Intelligence in Software Defined Networking Technology through Developing Machine Learning Algorithms 3

Integration of Artificial Intelligence in Software Defined N...

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3rd International Conference on Advance Computing and Innovative Technologies in engineering, ICACITE 2023

作者： Naibaho, Lamhot Saxena, Pulkit Raj Sharma, Kuldeep Alfurhood, Badria Sulaiman Pallavi, L. Pant, Bhasker Faculty of Letters and Languages Christian University of Indonesia English Language Education Study Program Indonesia Teer Thanker Mahaveer University College of Computing Science and Information Technology Uttar Pradesh Moradabad India Lovely Professional University Department of Computer Science and Engineering Punjab Jalandhar Phagwara India College of Computer Information Sciences Princess Nourah Bint Abdulrahman University Department of Computer Sciences Saudi Arabia B v Raju Institute of Technology Cse Telangana Narsapur India Graphic Era Deemed to Be University Computer Science & Engineering Uttarakhand Dehradun India

ISBN: (纸本)9798350399264

A future networking design called "software-defined networking"combines network programmability with centralized administration (SDN). Network administration is currently handled by SDN, which, at the regulator, which acts as the cable network processor and divides the data plane into a control plane and a data aircraft. Recent breakthroughs in artificial intelligence (Al) have shown a stronger inclination for the science community to benefit from their ability to give learning capabilities and enhance Indicator. The author of this research provides a comprehensive analysis of initiatives underway to incorporate Al with SDN. The study concluded that the three primary Al thread where scientific research was centered were computer science, conceptual, and fuzzy reasoning systems. The authors of this paper explore the several fields in which these approaches may be used, their potential future applications, and the innovations made possible by the integration of AI-based methods into the SDN paradigm. By choosing the right SDN controller, any large organization may lower network complexity, implementation expenses, and maintenance costs. The focus of this article is software defined networking's benefits and downsides (SDN). Following is a basic explanation of artificial intelligence and a list of some of its most significant applications in SDN. © 2023 IEEE.

关键词： Software defined networking

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Evaluating factors influencing community readiness for post-mining environmental development strategies

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Journal of Environmental Management 2024年 366卷 121823页

作者： Sutrisno, Agung Dwi Lee, Chun-Hung Suhardono, Sapta Suryawan, I Wayan Koko Department of Mining Engineering Institut Teknologi Nasional Jl. Babarsari Caturtunggal Depok Sleman Yogyakarta55281 Indonesia Department of Natural Resources and Environmental Studies College of Environmental Studies and Oceanography National Dong Hwa University Hualien97401 Taiwan Environmental Sciences Study Program Faculty of Mathematics and Natural Sciences Universitas Sebelas Maret Surakarta57126 Indonesia Department of Environmental Engineering Faculty of Infrastructure Planning Universitas Pertamina Jalan Sinabung II Terusan Simprug Jakarta12220 Indonesia

This research delves into the complex factors that affect how ready a community is to embrace new environmental development strategies, which could significantly change the region's social and economic fabric. Using a structured questionnaire, exploratory factor analysis and logistic regression analysis, the study assesses how corporate practices in resource management, environmental governance, efforts to enhance community capabilities, and various demographic factors influence the community's willingness to adapt to change. Despite its intentions to benefit both the mining operations and the community, corporate resource management appears to have a paradoxical impact on the community's willingness to pursue new environmental paths. This negative impact can be attributed to the dependency it creates. Effective corporate resource management can lead to a community becoming heavily reliant on the stability and benefits provided by the mining company. This dependency fosters a sense of security and satisfaction with the status quo, making community members less inclined to explore or support new and potentially disruptive environmental strategies. The stability provided by the mine's resource management practices may inadvertently anchor the community to existing economic structures, reducing their impetus to seek alternative livelihoods or adapt to new socioeconomic conditions. However, it is essential to consider the limitations of this finding. One limitation is the potential bias in community perceptions, where immediate benefits from corporate resource management overshadow long-term considerations for sustainable development. Additionally, the context-specific nature of this study means that these findings may not be universally applicable to all mining communities. © 2024 Elsevier Ltd

关键词： Mining

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Feasible tar cleaning method of producer gas from palm kernel shell and mahogany fruit shell gasification

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Materials Today: Proceedings 2022年 63卷 S237-S243页

作者： Pranolo, Sunu Herwi Waluyo, Joko Paryanto Susanti, Ari Diana Permana, Rizky Bagas Erwanda, Irvan Delayaski, Nuzila Alhaq, A'laa 'Izzuddin Putro, Firman Asto Chemical Engineering Study Program Faculty of Engineering Universitas Sebelas Maret Jl. Ir. Sutami 36A Surakarta57126 Indonesia Chemical Engineering Diploma 3 Vocational School Universitas Sebelas Maret Jl. Kolonel Sutarto 150K Surakarta57126 Indonesia

Palm kernel shells and mahogany fruit shells are technically possible to be converted into producer gas by means of air gasification process for several purposes, such as fuel gas, liquid fuels, or chemicals processes after specific treatments. Tar as the most significant impurity in the producer gas should be minimized to prevent blockage or chocking in the downstream flow of the system and to produce high purity gas. This research examines producer gas cleaning system which consists of scrubber, elutriator pipe, and shell-and-tube heat exchanger to produce low tar content producer gas in a fixed-bed gasifier using both feedstocks. This system is coupled with a fixed-bed gasifier using air as gasifying agent at feedstock capacity of 25 kg/h. It is found that gasification of palm kernel shell produced more tar at 92.67 ppm compared with mahogany fruit shell at 26.87 ppm. Furthermore, this system demonstrated high performance in reducing tar content in producer gas up to value of 8.67 ppm and 10.00 ppm for palm kernel shell and mahogany fruit shell gasification respectively. © 2022

关键词： Fruits

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A comparison on the use of Perlin-noise and Gaussian noise based augmentation on X-ray classification of lung cancer patient 1

A comparison on the use of Perlin-noise and Gaussian noise b...

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1st International Symposium on Physics and Applications, ISPA 2020

作者： Haekal, M. Septiawan, R.R. Haryanto, F. Arif, I. Department of Physics Faculty of Sciences and Data Analytics Institut Teknologi Sepuluh Nopember Kampus ITS Sukolilo-Surabaya Jawa Timur60111 Indonesia Computer Engineering Study Program School of Electrical Engineering Telkom University Jl. Telekomunikasi No.1 Jawa Barat Bandung40257 Indonesia Faculty of Mathematics and Natural Sciences Institut Teknologi Bandung Jl. Ganeca 10 Jawa Barat Bandung40132 Indonesia

The use of deep learning in medical image classification has become an important study in the past few years. The proper use of this method, however, is still hindered by many problems, one of it being the imbalance of dataset available for training which resulted in small-set database. In this study, the effect of noise-based augmentation on the performance of deep learning based classification will be studied. The noises which were used for the augmentation method were Perlin-noise and Gaussian noise. The modality of medical image used in this study is X-ray. 174 X-ray images (87 cancer, 87 normal) were used in this study and will be classified by using transfer learning from previously trained deep learning architecture. The deep learning architecture used was vgg-19. The images were divided into two groups, 138 (69 cancer, 69 normal) images were used for training phase and 36 (18 cancer, 18 normal) were images used for testing phase. Three deep learning models were used for the classification tasks, the first one was retrained to classify the original images, the second one was retrained by using mix of original images and images with Perlin-noise, and the third one was retrained by using mix of original images and images with Gaussian noise. The results showed that the three models returned similar accuracy of 0.8 which indicate that the use of noise-based augmentation can increase the performance of deep learning in classifying medical images with small set training database. © Published under licence by IOP Publishing Ltd.

关键词： Classification (of information)

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Analog Behavioral Model of Underdamped Free Oscillation of Cantilever Beams

Analog Behavioral Model of Underdamped Free Oscillation of C...

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2019 International Conference on Sustainable engineering and Creative Computing, ICSECC 2019

作者： Tarigan, Hendra J. Sitompul, Erwin President University Study Program of Electrical Engineering Faculty of Engineering Bekasi Indonesia

ISBN: (纸本)9781728151922

A physical model representing an underdamped free oscillation of a cantilever beam is constructed. The model is incorporated into a pSPICE Analog Behavioral Model (ABM) in order to construct a circuit schematic that generates a model-based waveform representing that of the experiment. A strain gage is employed to sense the change in strain in the oscillating cantilever beam. The frequency and damping ratio of oscillation of the cantilever are determined by means of curve fitting. Experiment and pSPICE ABM results show an excellent agreement. © 2019 IEEE.

关键词： Strain gages

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Investigation of thermal properties of ethylene glycol-based Williamson hybrid-nanofluid over stretchable/shrinking flat plate and their effects on solar panels

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International Journal of Thermofluids 2024年 24卷

作者： Aselebe, L.O. Adeosun, A.T. Kasali, K.B. Yisa, B.M. Salaudeen, K.A. Adesina, R.O. Federal School of Surveying Oyo Nigeria Department of Mathematics Federal College of Education Iwo Nigeria Department of Mathematics and Statistics First Technical University Ibadan Nigeria Department of Mathematics Faculty of Physical Sciences University of Ilorin Ilorin Nigeria Department of Mathematics and Computing Science Education Faculty of Science Education Emmanuel Alayande University of Education Oyo Nigeria Energy System Science and Engineering Program Department of Electronic and Electrical Engineering Obafemi Awolowo University Ile-Ife Nigeria

The global requirement for sustainable energy supply to enhance industrial productivity and reduce production costs has focused researchers’ attention to renewable energy in recent years. Solar energy mitigates the dangers connected with the use of fossil fuels in electricity generation. This work is set to evaluate the heat transmission capacities of Williamson hybrid nanofluid flow across a flat plate with viscous dissipation and heat source. The mathematical model explaining the flow interaction of Williamson hybrid nanofluid, combining viscous dissipation, heat source, and temperature-variation thermal conductivity and viscosity, is created using conservation laws. The specified system of non-linear coupled partial differential equations undergoes non-similarity transformation. The resulting non-dimensional model is solved using the bivariate spectral weighted residual method. The accuracy of the method is proven by comparing obtained results with those in the literature, and a good agreement is observed. Graphs are utilized to explain the thermophysical properties that are being considered. The results show that the fluid temperature rises when there is a source of heating and viscous dissipation. The velocity and the fluid parameter (We) have an inverse connection, whereas the temperature of the fluid has the opposite impact. Moreover, when nanoparticles are present, the thermal boundary layer rises along with the nanoparticles, thickening the velocity boundary layer and decreasing fluid velocity. Findings also show that for the Vd∈[0.1,0.5], the skin drag force and Nusselt number retard by 0.64%,14.06% for the shrinking sheet and 0.21%,6.57% for the stretching sheet respectively. In the same vein, an 100% surge in the porosity parameter escalate the skin friction coefficient by 19.13% and 26.91% and the Nusselt number by 4.92% and 2.06% respectively for both the contracting and elastic sheet. The findings in the research will provide more insight in the desig

关键词： Nusselt number

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Methylcellulose-AgNPs-oat hydrogel as a wound dressing for burn wound

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AIP Conference Proceedings 2024年第1期3047卷

作者： Prihartini Widiyanti Firza Siswanto Biomedical Engineering Study Program Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia Physics Study Program Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia

Based on the RISKESDAS in 2018 the prevalence of burns reached 1,3% of the total population of Indonesia and basen on WHO there were 195,000 cases of deaths due to burns every year. One clinical treatment for burns is to use hydrogels as wound dressing. Hydrogel wound dressing functions to absorb wound exudates, by keeping the wound moist. This study was conducted to determine the effect of adding oat extrac to the hydrogel methylcellulose-AgNPs. Hydrogel methylcellulose-AgNPs are mixed with oat extract, with an oat extract concentration of 0 wt%, 0.5 wt%, 1 wt%, 1.5 wt%, and 2 wt%. The characterization carried out included XRD crystallinity test and SEM morphology test for the characterization of AgNPs, and it was found that 10.2% of AgNPs were formed and evenly distributed AgNPs. In addition, characterization of hydrogel wound dressing was carried out which included antibacterial test, cytotoxicity test, swelling test, and antioxidant test. From the results of the analysis it was found that the best variable methylcellulose-AgNPs-oat hydrogel was a sample with an oat concentration of 2 wt%, which had a clear zone diameter of 10.35 mm and was sensitive to bacteria, had a% viability of 2.206%, a swelling value of 71, 7%, and has an antioxidant value of 95%. It shows that the addition of oats can increase the cell viability because oats are antioxidants, so they can counteract the free radicals produced by AgNPs, but the addition of oats increases sensitivity to bacteria because oats also function as antibacterial. Samples with oats of 2 wt% have the best characterization even though they have not met the standard wound dressing.

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System Modelling Using Neural Networks with External Recurrence and Exponential Quadratic Cost Function

System Modelling Using Neural Networks with External Recurre...

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2019 International Conference on Sustainable engineering and Creative Computing, ICSECC 2019

作者： Sitompul, Erwin President University Study Program of Electrical Engineering Faculty of Engineering Bekasi Indonesia

ISBN: (纸本)9781728151922

A novel cost function to improve the performance of neural networks in system modelling is proposed in this paper, the exponential quadratic cost function. This cost function combines the strength of penalizing errors exponentially and the feasibility of quadratic function in finding global minima. By applying the exponential quadratic cost function, the learning algorithm is expected to have an improved ability to minimize the difference between system output and model output. Simulations by using a test system with strong nonlinear dynamics were conducted to prove the effectiveness of the proposed cost function. The results show that the network trained using the exponential quadratic cost function performs better in emulating the test system in transient region. © 2019 IEEE.

关键词： Cost functions

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On the influence of silica nanoparticles for enhanced oil recovery (EOR)

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AIP Conference Proceedings 2024年第1期3073卷

作者： Sarah Dampang Muhammad Mufti Azis Ahmad Tawfiequrrahman Yuliansyah Suryo Purwono Department of Chemical Engineering Faculty of Engineering Universitas Gadjah Mada Yogyakarta 55281 Indonesia Study Program of Chemical Engineering Faculty of Engineering Universitas Singaperbangsa Karawang 41361 Jawa Barat Indonesia Professional Engineering Program Faculty of Engineering Universitas Gadjah Mada Yogyakarta 55281 Indonesia

Utilization of nanoparticles in oil and gas sector has gained a significant interest. Silica nanoparticles is often considered as a promising chemical to improve the Enhanced Oil Recovery (EOR) process. The objective of this work was to provide a mini review to address the effect of silica nanoparticles addition in a chemical EOR. In this work, we have reviewed the influence of nanoparticles to reduce Interfacial Surface tension (IFT), to alter wettability, to reduce oil viscosity, to improve fluid rheology, and to alter structural disjoining pressure. We expect that this review may provide a useful guidelines for the development of silica nanoparticles in Indonesia.

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